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The 80,000 Hours Podcast on Artificial Intelligence (September 2023)

A compilation of ten key episodes on artificial intelligence and related topics from 80,000 Hours. Together they'll help you learn about how AI looks from a broadly longtermist, existential risk, or effective altruism flavoured point of view.

14 episodes•0 subscribers•0 Total Listens

Episode Playlist

14 episodes

Sep 1, 2023•—

Bonus: China-related AI safety and governance paths (Article)

Sep 1, 2023•—

Bonus: Preventing an AI-related catastrophe (Article)

Sep 1, 2023•—

Eleven: Catherine Olsson & Daniel Ziegler on the fast path into high-impact ML engineering roles

Sep 1, 2023•—

Ten: Nova DasSarma on why information security may be critical to the safe development of AI systems

Sep 1, 2023•—

Nine: Helen Toner on emerging technology, national security, and China

Sep 1, 2023•—

Eight: Tom Davidson on how quickly AI could transform the world

Sep 1, 2023•—

Seven: Ben Garfinkel on scrutinising classic AI risk arguments

Sep 1, 2023•—

Six: Richard Ngo on large language models, OpenAI, and striving to make the future go well

Sep 1, 2023•—

Five: Chris Olah on what the hell is going on inside neural networks

Sep 1, 2023•—

Four: Rohin Shah on DeepMind and trying to fairly hear out both AI doomers and doubters

Sep 1, 2023•—

Three: Paul Christiano on finding real solutions to the AI alignment problem

Sep 2, 2023•—

Two: Ajeya Cotra on accidentally teaching AI models to deceive us

Sep 2, 2023•—

One: Brian Christian on the alignment problem

Sep 2, 2023•—

The 80,000 Hours Podcast on Artificial Intelligence (September 2023)

Episode Playlist

Bonus: China-related AI safety and governance paths (Article)

Bonus: Preventing an AI-related catastrophe (Article)

Eleven: Catherine Olsson & Daniel Ziegler on the fast path into high-impact ML engineering roles

Ten: Nova DasSarma on why information security may be critical to the safe development of AI systems

Nine: Helen Toner on emerging technology, national security, and China

Eight: Tom Davidson on how quickly AI could transform the world

Seven: Ben Garfinkel on scrutinising classic AI risk arguments

Six: Richard Ngo on large language models, OpenAI, and striving to make the future go well

Five: Chris Olah on what the hell is going on inside neural networks

Four: Rohin Shah on DeepMind and trying to fairly hear out both AI doomers and doubters

Three: Paul Christiano on finding real solutions to the AI alignment problem

Two: Ajeya Cotra on accidentally teaching AI models to deceive us

One: Brian Christian on the alignment problem

Zero: What to expect in this series

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